Platform Architecture — Layer 6

Compliance Automation Engine

Manual compliance is a tax on engineering velocity. The Novastraxis Compliance Automation Engine replaces spreadsheets, screenshots, and audit fire drills with continuous control monitoring, automated evidence collection, and audit-ready reporting across 12 regulatory frameworks — simultaneously.

The Compliance Problem

Enterprise compliance programs were designed for a world where infrastructure changed quarterly, not continuously. Modern cloud environments deploy thousands of changes per day, rendering point-in-time audits obsolete the moment they conclude. Organizations need compliance that operates at the speed of deployment.

$2.4M

Average Annual Cost

Enterprise compliance teams spend $2.4M per year on manual evidence gathering, control testing, and audit preparation — costs that scale linearly with every new framework adopted.

4,200 hrs

Manual Hours Per Audit

A single SOC 2 Type II audit cycle consumes an average of 4,200 person-hours across engineering, security, and compliance teams — hours diverted from building product.

67%

Evidence Overlap

Enterprises maintaining multiple frameworks collect the same evidence repeatedly. Cross-framework deduplication eliminates 67% of redundant evidence collection effort.

Capabilities Deep-Dive

Six integrated capabilities that transform compliance from a periodic audit exercise into a continuous, automated function embedded in your engineering workflows. Each capability operates independently but shares a unified control ontology and evidence store.

Continuous Control Monitoring

Point-in-time assessments create a dangerous illusion of compliance. Between audits, configurations drift, new services are deployed without controls, and exceptions accumulate. Our continuous monitoring engine evaluates 340+ controls in real-time, detecting drift the moment it occurs and — for 89 of the most common misconfigurations — automatically remediating before your compliance posture is impacted.

Technical Specifications

  • Real-time assessment of 340+ controls mapped across all supported regulatory frameworks
  • Configuration drift detection with sub-minute latency across cloud infrastructure, SaaS applications, and on-premises systems
  • Automatic remediation for 89 common misconfigurations including open security groups, unencrypted storage, missing MFA, public S3 buckets, and excessive IAM permissions
  • Drift severity scoring with configurable thresholds for warning, critical, and automatic remediation tiers
  • Full remediation audit trail with before/after snapshots, approval records, and rollback capability
  • Custom control definitions using OPA/Rego for organization-specific compliance requirements beyond standard frameworks

SLA Guarantee: Control assessment frequency: every 60 seconds. Drift detection to alert: < 90 seconds.

Automated Evidence Collection

Manual evidence collection is the single largest time sink in the audit lifecycle. Our evidence engine integrates with 45+ data sources — from cloud provider APIs to identity platforms to ticketing systems — automatically collecting, timestamping, and cryptographically signing evidence artifacts. Every piece of evidence includes a verifiable integrity chain that auditors can independently validate.

Technical Specifications

  • Integrates with 45+ data sources including AWS, GCP, Azure, Okta, GitHub, Jira, ServiceNow, Datadog, Splunk, and internal APIs via custom connectors
  • Cryptographic evidence integrity using SHA-256 hashing with timestamped signatures anchored to an immutable audit ledger
  • Timestamped evidence chains establish provenance from the moment of collection through every access and transformation
  • Automatic evidence refresh on configurable schedules — daily, weekly, or continuous — ensuring evidence is always audit-current
  • Bulk evidence export in auditor-friendly formats including PDF bundles, CSV matrices, and structured JSON for GRC platform ingestion
  • Evidence gap analysis identifies missing or stale evidence before audit cycles begin, with automatic assignment to responsible owners

SLA Guarantee: Evidence collection latency: < 30 seconds per artifact. Integrity verification: < 2 seconds.

Framework Mapping Engine

Enterprises rarely maintain a single compliance framework. Most operate under four or more simultaneously — SOC 2, ISO 27001, HIPAA, PCI DSS — each with its own control taxonomy but significant overlap in underlying requirements. Our mapping engine maintains a normalized control ontology that maps once and satisfies many, reducing the total evidence burden by 67% through intelligent cross-framework deduplication.

Technical Specifications

  • Supports 12 regulatory frameworks simultaneously with unified control mapping and evidence sharing
  • Cross-framework deduplication engine identifies overlapping requirements and reduces evidence collection burden by 67%
  • Visual framework coverage matrix showing control satisfaction status across all active frameworks in a single view
  • Automatic gap identification when new frameworks are adopted — instantly see which existing controls already satisfy new requirements
  • Framework update tracking with change impact analysis when regulatory bodies publish new versions or amendments
  • Custom framework support for internal policies, customer security questionnaires, and industry-specific standards

SLA Guarantee: Framework mapping computation: < 5 seconds for full cross-framework deduplication analysis.

Audit Portal

Audit season should not mean fire drills. The Novastraxis Audit Portal provides your external auditors with a purpose-built, read-only environment where all evidence is pre-organized by framework and control, automatically checked for freshness, and presented in a secure document room with full access logging. Auditors get what they need immediately. Your team stops fielding ad-hoc evidence requests.

Technical Specifications

  • Read-only auditor access with granular scoping — auditors see only the frameworks and controls relevant to their engagement
  • Evidence organized by framework, control family, and individual control with automatic cross-referencing
  • Automatic evidence freshness tracking flags any artifact older than its configured validity period
  • Secure document room with watermarked downloads, access logging, and configurable expiration dates for auditor sessions
  • Real-time auditor activity dashboard showing which controls have been reviewed, which have questions, and overall audit progress
  • In-portal comment and question threads replace email-based back-and-forth, keeping all audit communication in context

SLA Guarantee: Portal availability: 99.99%. Evidence retrieval: < 1 second. Auditor provisioning: < 5 minutes.

Policy-as-Code

Compliance policies written in natural language documents are ambiguous, hard to test, and impossible to enforce programmatically. Our Policy-as-Code engine lets you express compliance requirements as executable OPA/Rego policies that are version-controlled, testable, and integrated directly into your CI/CD pipeline. Every deployment is checked against your compliance policies before it reaches production.

Technical Specifications

  • OPA/Rego policy engine with a curated library of 500+ pre-built policies covering all supported frameworks
  • Version-controlled policy library with Git-based workflows, pull request reviews, and automated testing on policy changes
  • CI/CD pipeline integration via GitHub Actions, GitLab CI, Jenkins, CircleCI, and Azure DevOps — block non-compliant deployments at merge time
  • Policy impact simulation shows which existing resources would fail a proposed policy before it is activated in enforcement mode
  • Policy exception workflow with time-bounded exemptions, mandatory justification, and automatic expiration
  • Policy drift detection identifies resources that passed at deployment time but have since fallen out of compliance

SLA Guarantee: Policy evaluation: < 200ms per resource. CI/CD gate latency: < 3 seconds per pipeline check.

Risk Register

Compliance is one dimension of risk management. Our integrated Risk Register provides a quantitative, continuously updated view of organizational risk that connects compliance control failures to business impact. Risk scores are calculated using the FAIR methodology and presented in board-ready dashboards that translate technical findings into financial exposure estimates.

Technical Specifications

  • Quantitative risk scoring using the FAIR (Factor Analysis of Information Risk) methodology with Monte Carlo simulation
  • Risk treatment tracking with owner assignment, due dates, status progression, and evidence of treatment effectiveness
  • Board-ready risk dashboards with executive summaries, trend analysis, and financial exposure quantification
  • Integration with leading GRC platforms including ServiceNow GRC, Archer, LogicGate, Drata, and Vanta
  • Automatic risk identification from compliance control failures — a failed control instantly creates or updates a risk entry
  • Risk appetite configuration with automatic alerting when aggregate risk exposure exceeds defined thresholds per business unit

SLA Guarantee: Risk score recalculation: real-time on control status change. Dashboard refresh: < 10 seconds.

Supported Regulatory Frameworks

Maintain continuous compliance across 12 frameworks simultaneously. Our normalized control ontology maps overlapping requirements automatically — collect evidence once and satisfy controls across every active framework.

SOC 2

Type I & Type II

ISO 27001

2022 Edition

FedRAMP

Moderate & High

HIPAA

Security & Privacy Rules

PCI DSS

v4.0 Level 1

GDPR

Article 28 & 32

CCPA

CPRA Amendments

NIST 800-53

Rev 5

CSA STAR

Level 2

StateRAMP

Moderate & High

NIS2

EU Directive

DORA

EU Regulation

99.999%

Verified Uptime SLA

$4B+

Global Data Secured

2,400+

Enterprise Deployments

<12ms

Median API Latency

Compliance on autopilot

Our compliance engineers will assess your current framework coverage, identify automation opportunities, and demonstrate how the Compliance Automation Engine integrates with your existing tools in a guided proof-of-concept.